Affiliation:
1. School of Physical and Mathematical Sciences, Nanyang Technological University, 637371, Singapore
Abstract
In this work, a gate-controlled memristor that enables synaptic and neuronal bi-functionality is proposed, which enhances neural network hardware implementation efficiently with all standard CMOS techniques used for device fabrication.
Funder
Agency for Science, Technology and Research
Publisher
Royal Society of Chemistry (RSC)
Subject
General Materials Science
Cited by
4 articles.
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